The least square algorithm using forward and backward linear prediction (LS algorithm) for the autoregressive spectral estimates of the SMMW Fourier transform spectroscopy data is presented.
本文介绍自回归谱分析法的另一种算法—前后向最小二乘法(LS算法)在亚毫米波付里叶变换谱中的应用。
In this paper, a method of network traffic prediction based on wavelet transform and autoregressive model is proposed.
本文前言部分，主要介绍了网络流量预测的研究背景及本文的工作。
The result shows that the model has higher prediction accuracy. (2)The autoregressive model, BP neural network model and support vector machine model are studied in the paper, respectively.
分别对自回归模型、神经网络模型、支持向量机模型进行研究，以我国人口增长率为例，对人口增长率进行预测。
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